Pinned Repositories
100-nlp-papers
100 Must-Read NLProc Papers
1ZLAB_Face_Track_Robot
二自由度云台实现人脸追踪。 首先是使用一款名字叫做IP摄像头的APP 采集手机摄像头的图像，在手机上建立一个视频流服务器。在局域网下，PC通过IP还有端口号获取图像。使用OpenCV的人脸检测的API获取人脸在画面中的位置，根据人脸位置距离画面中心的x轴与y轴的偏移量(offset) ，通过P比例控制(PID控制中最简单的一种)控制二自由度云台上臂与下臂的旋转角度，将角度信息通过串口通信UART发送给ESP32单片机(不限于ESP32，STM32,Arduino都可以)解析执行对应的操作，从而使得人脸尽可能处在画面的正中间。
cs231n_spring_2017_assignment
My implementations of cs231n 2017
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
deepnlp
Deep Learning NLP Pipeline implemented on Tensorflow
MemNN
Memory Networks implementations
Paper_Writing_Tips
ROS-Academy-for-Beginners
中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
tensorflow
Computation using data flow graphs for scalable machine learning
suzhidong's Repositories
suzhidong/Paper_Writing_Tips
suzhidong/Adaptation-with-Noisy-OracLE
PyTorch implementation for our paper "Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation"
suzhidong/audioset_tagging_cnn
suzhidong/Awesome-Incremental-Learning
Awesome Incremental Learning
suzhidong/chatadp-paper
This paper was accepted by ICRA2024
suzhidong/chatbot-deployment
Deployment of PyTorch chatbot with Flask
suzhidong/chatgpt-sql
Allows you to query an SQL database using natural language.
suzhidong/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
suzhidong/django-locallibrary-tutorial
Local Library website written in Django; example for the MDN server-side development Django module: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django.
suzhidong/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
suzhidong/google-research
Google Research
suzhidong/lab6code
suzhidong/learning-from-human-preferences
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
suzhidong/lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
suzhidong/litgpt
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
suzhidong/MetaLearning-Lab
The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/
suzhidong/python-speech
suzhidong/pytorch-chatbot
Simple chatbot implementation with PyTorch.
suzhidong/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
suzhidong/REKCARC-TSC-UHT
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
suzhidong/SalesBot
Transitioning from Open-Domain Chit-Chat to Task-Oriented Dialogues
suzhidong/sensor-js.github.io
suzhidong/soloist
suzhidong/suzhidong.github.io
suzhidong/tatk
Task-oriented dialog system toolkits
suzhidong/ToD-BERT
Pre-Trained Models for ToD-BERT
suzhidong/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
suzhidong/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
suzhidong/weekly
科技爱好者周刊，每周五发布
suzhidong/zhidongsu.github.io